Table 1 provides a summary of the regression analysis for the variable predicting happiness. What can the researcher say about the variable sense of humor? A)The variable sense of humor does not contribute to the model for predicting happiness. B)The variable sense of humor does contribute to the model for predicting happiness.

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Table 1 provides a summary of the regression analysis for the variable predicting happiness.
What can the researcher say about the variable sense of humor?

A)The variable sense of humor does not contribute to the model for predicting happiness.

B)The variable sense of humor does contribute to the model for predicting happiness.

**Table 1: Summary of Regression Analysis for Variable Predicting Happiness (N = 20)**

| Variable        | B   | SE B | β   |
|-----------------|-----|------|-----|
| Sense of humor  | 1.22| .37  | .61*|

*Note. *p < .05*

**Explanation:**

This table presents the results of a regression analysis examining the influence of a variable, "Sense of humor," on predicting happiness among 20 participants.

- **B (Unstandardized Coefficient):** Indicates the strength and direction of the relationship between the independent variable (sense of humor) and the dependent variable (happiness). A B value of 1.22 suggests a positive association.
  
- **SE B (Standard Error of B):** Measures the precision of the B coefficient. A smaller SE indicates a more precise estimate. Here, it is 0.37.

- **β (Beta Coefficient):** A standardized measure of the strength of the relationship, allowing comparison across different variables. The beta of .61, marked with an asterisk (*), indicates a statistically significant relationship with p < .05, meaning there is less than a 5% chance this result is due to random variation. This suggests that a sense of humor is a meaningful predictor of happiness in this study.
Transcribed Image Text:**Table 1: Summary of Regression Analysis for Variable Predicting Happiness (N = 20)** | Variable | B | SE B | β | |-----------------|-----|------|-----| | Sense of humor | 1.22| .37 | .61*| *Note. *p < .05* **Explanation:** This table presents the results of a regression analysis examining the influence of a variable, "Sense of humor," on predicting happiness among 20 participants. - **B (Unstandardized Coefficient):** Indicates the strength and direction of the relationship between the independent variable (sense of humor) and the dependent variable (happiness). A B value of 1.22 suggests a positive association. - **SE B (Standard Error of B):** Measures the precision of the B coefficient. A smaller SE indicates a more precise estimate. Here, it is 0.37. - **β (Beta Coefficient):** A standardized measure of the strength of the relationship, allowing comparison across different variables. The beta of .61, marked with an asterisk (*), indicates a statistically significant relationship with p < .05, meaning there is less than a 5% chance this result is due to random variation. This suggests that a sense of humor is a meaningful predictor of happiness in this study.
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